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Databricks

Director, Enterprise Sales, Federal System Integrators & Defense Industrial Base

Databricks, Washington, District of Columbia, us, 20022

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Director, Enterprise Sales We are seeking a Director, Enterprise Sales to lead our Federal System Integrators and Defense Industrial Base (FSI/DIB) team. In this role, you will manage a team of Enterprise Account Executives who focus on selling to FSI and DIB accounts. Your success will be measured by your team’s overall quota achievement, new logo acquisition, and growth in Databricks usage. This team is passionate about building a robust data ecosystem, possesses strong technical knowledge, and is committed to helping customers and partners succeed. You will report directly to the Vice President of Federal Civilian.

Impact You Will Have

Lead, grow, and inspire the Enterprise Account Executive team to consistently exceed their goals.

Foster a culture of teamwork centered on delivering measurable business value and achieving desired customer outcomes.

Build trust‑based, long‑term relationships with customers and partners to drive sustained success.

Promote continuous learning and adoption of innovations in data intelligence and GenAI solutions.

Actively contribute to regional growth plans, ensure accurate forecasting, and build a durable, customer‑focused, high‑growth business.

What We Look For

Experience as a high‑growth enterprise software sales leader with experience leading sales teams within the Data, AI, Cloud, or SaaS Sales Industry.

History of exceeding sales quotas in similar high‑growth technology companies.

Ability to engage with and hire sales talent in the market.

Focus and emphasis on methodology‑based sales coaching, MEDDPIC and a Challenger mentality.

Experience of value‑based sales with both the business and IT stakeholders including C‑suite.

Experience in leadership roles focused on managing sales organizations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales.

Extended Executive relationship network with key customers.

Knowledge of the partner ecosystem to help grow Enterprise strategic territories.

Success implementing strategies for consumption and commitment‑based sales revenue models.

Pay Range Transparency

Zone 1 Pay Range: $330,000—$462,000 USD

Zone 2 Pay Range: $330,000—$462,000 USD

Zone 3 Pay Range: $330,000—$462,000 USD

Zone 4 Pay Range: $330,000—$462,000 USD

About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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